Data

Predictive models for the selection of thermally tolerant corals based on offspring survival

Name: Predictive models for the selection of thermally tolerant corals based on offspring survival
Published: 2025

Australian Institute of Marine Science

Australian Institute of Marine Science (AIMS)

Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://apps.aims.gov.au/metadata/view/b45320a5-0369-4bf8-91d0-cb8d211eb518&rft.title=Predictive models for the selection of thermally tolerant corals based on offspring survival&rft.identifier=https://apps.aims.gov.au/metadata/view/b45320a5-0369-4bf8-91d0-cb8d211eb518&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Wild corals were collected on the Northern and Central regions of the Great Barrier Reef at depths of ~4m. The colonies were transferred to the National Sea Simulator at AIMS. Spawning occurred on 26th to the 29th of November 2018, and experiments were carried out from Nov 2018 until March 2019.Thermal heat test experiments were conducted following coral spawning and purebred / hybrid offspring were produced. Larvae were reared and subjected to a heat tests. Larval survival was counted from 0 to 56 hours at 27°C and 35.5°C.Larvae were then induced to settle, exposed to symbionts and then exposed to heat stress. Both larvae and juveniles were sampled for survival, counted at 0 and after 58 days at 27 and 32°C treatments. Individual larvae were counted within replicate net-wells, in replicate, plates within each temperature treatment. Each larval survival measurement represents a discrete sample measurement.Juvenile survival, bleaching and growth were assessed, survival statistical analyses were run in R (v. 3.6.0) and amplicon Miseq and RNAseq sequencing of Symbiodiniaceae taxa in coral juveniles.See Quigley & van Oppen (2022) for full details.Maintenance and Update Frequency: asNeeded&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2025&rft.coverage=westlimit=143.7848; southlimit=-12.5003; eastlimit=143.7848; northlimit=-12.5003&rft.coverage=westlimit=143.7848; southlimit=-12.5003; eastlimit=143.7848; northlimit=-12.5003&rft.coverage=westlimit=143.5115; southlimit=-12.585; eastlimit=143.5115; northlimit=-12.585&rft.coverage=westlimit=143.5115; southlimit=-12.585; eastlimit=143.5115; northlimit=-12.585&rft.coverage=westlimit=147.6495; southlimit=-18.8217; eastlimit=147.6495; northlimit=-18.8217&rft.coverage=westlimit=147.6495; southlimit=-18.8217; eastlimit=147.6495; northlimit=-18.8217&rft.coverage=westlimit=147.056138; southlimit=-19.268297; eastlimit=147.056138; northlimit=-19.268297&rft.coverage=westlimit=147.056138; southlimit=-19.268297; eastlimit=147.056138; northlimit=-19.268297&rft.coverage=westlimit=147.1464; southlimit=-18.5075; eastlimit=147.1464; northlimit=-18.5075&rft.coverage=westlimit=147.1464; southlimit=-18.5075; eastlimit=147.1464; northlimit=-18.5075&rft.coverage=westlimit=143.9714; southlimit=-13.4362; eastlimit=143.9714; northlimit=-13.4362&rft.coverage=westlimit=143.9714; southlimit=-13.4362; eastlimit=143.9714; northlimit=-13.4362&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au/&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2022). Predictive models for the selection of thermally tolerant corals based on offspring survival. https://apps.aims.gov.au/metadata/view/b45320a5-0369-4bf8-91d0-cb8d211eb518, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/3.0/au/

Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2022). Predictive models for the selection of thermally tolerant corals based on offspring survival. https://apps.aims.gov.au/metadata/view/b45320a5-0369-4bf8-91d0-cb8d211eb518, accessed[date-of-access]".

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Full description

Wild corals were collected on the Northern and Central regions of the Great Barrier Reef at depths of ~4m. The colonies were transferred to the National Sea Simulator at AIMS. Spawning occurred on 26th to the 29th of November 2018, and experiments were carried out from Nov 2018 until March 2019.

Thermal heat test experiments were conducted following coral spawning and purebred / hybrid offspring were produced. Larvae were reared and subjected to a heat tests. Larval survival was counted from 0 to 56 hours at 27°C and 35.5°C.

Larvae were then induced to settle, exposed to symbionts and then exposed to heat stress. Both larvae and juveniles were sampled for survival, counted at 0 and after 58 days at 27 and 32°C treatments.

Individual larvae were counted within replicate net-wells, in replicate, plates within each temperature treatment. Each larval survival measurement represents a discrete sample measurement.

Juvenile survival, bleaching and growth were assessed, survival statistical analyses were run in R (v. 3.6.0) and amplicon Miseq and RNAseq sequencing of Symbiodiniaceae taxa in coral juveniles.

See Quigley & van Oppen (2022) for full details.

Lineage

Maintenance and Update Frequency: asNeeded

Notes

Credit
van Oppen, M.J.H. (AIMS) and the University of Melbourne

Credit
Quigley, K. Australian Institute of Marine Science (AIMS)

Modified: 19 09 2025

This dataset is part of a larger collection

Click to explore relationships graph

text: westlimit=143.7848; southlimit=-12.5003; eastlimit=143.7848; northlimit=-12.5003

text: westlimit=143.5115; southlimit=-12.585; eastlimit=143.5115; northlimit=-12.585

text: westlimit=147.6495; southlimit=-18.8217; eastlimit=147.6495; northlimit=-18.8217

text: westlimit=147.056138; southlimit=-19.268297; eastlimit=147.056138; northlimit=-19.268297

text: westlimit=147.1464; southlimit=-18.5075; eastlimit=147.1464; northlimit=-18.5075

text: westlimit=143.9714; southlimit=-13.4362; eastlimit=143.9714; northlimit=-13.4362

Subjects

oceans |

User Contributed Tags

Other Information

GitHub Repository for Finding Heat tolerant corals for selective breeding package - https://github.com/LaserKate/AGF18_MachineLearning

uri : https://github.com/LaserKate/AGF18_MachineLearning External Link

Amplicon sequencing data of the Symbiodiniaceae ITS2 region data is available on the Sequence Read Archive (BioProject PRJNA720058).

uri : https://www.ncbi.nlm.nih.gov/bioproject/PRJNA720058 External Link

Quigley, K. M., & van Oppen, M. J. H. (2022). Predictive models for the selection of thermally tolerant corals based on offspring survival. Nature Communications, 13(1), 1543. https://doi.org/10.1038/s41467-022-28956-8

doi : https://doi.org/10.1038/s41467-022-28956-8 DOI Link

Identifiers

global : b45320a5-0369-4bf8-91d0-cb8d211eb518